Gait Analysis Using the Physics Toolbox App

Sensors in new smartphones can be an excellent tool to measure different physical quantities and these can be useful to develop real experiments with application in human health. Therefore, in this research work, the design and construction of a gait analyser was carried out using the toolbox physic...

Full description

Autores:
Garcia Barrientos, Abel
Tipo de recurso:
Fecha de publicación:
2022
Institución:
Universidad del Atlántico
Repositorio:
Repositorio Uniatlantico
Idioma:
eng
OAI Identifier:
oai:repositorio.uniatlantico.edu.co:20.500.12834/968
Acceso en línea:
https://hdl.handle.net/20.500.12834/968
https://www.scopus.com/record/display.uri?eid=2-s2.0-85126318837&doi=10.1109%2fACCESS.2022.3158315&origin=inward&txGid=7f930d798d42c9ea7abe1d0294c4c5f7
Palabra clave:
Gait analyzer
accelerometers
non-invasive measurements
physics toolbox app
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc/4.0/
Description
Summary:Sensors in new smartphones can be an excellent tool to measure different physical quantities and these can be useful to develop real experiments with application in human health. Therefore, in this research work, the design and construction of a gait analyser was carried out using the toolbox physics app for data acquisition and MATLAB was used for its analysis. This system analyses the behaviour of walking in people and its purpose is to diagnose any health problem caused by the human being's way of walking. For this, the g-force meter was used in x, y, and z components. This application uses inputs from the device's sensors to save and export the data in comma-separated values (CSV) format through a.csv extension. The results are very interesting because they can be used in medical diagnoses such as reduced gait speed and loss of regularity, symmetry, or synchronization of body movements. Since many organs are involved in gait, there are several types of gait disturbances that cause gait to be abnormal.With this system, it is possible to identify the hemiplegic gait, festinating gait, paraparhetic gait, waddling gait, among others. This analysis was carried out using the Pearson, Spearman, and Kendall correlation coef cients, which indicate the possible diagnoses in the patients.